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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Proficient in at least three of the following: applied mathematics, physics, electrical engineering, software design, signal processing, image processing, machine learning, reinforcement learning, numerical analysis, statistics, geospatial data processing, robotics, or distributed computing.
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Experience as a data engineer to provide and prepare data to enable data science and machine learning. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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Position Overview:We are seeking an experienced Machine Learning Engineer to join our team, specializing in Large Language Models (LLMs) and Generative AI. The ideal candidate will have a strong background in AI/ML technologies, with specific expertise in developing, training, and deploying large-scale language models and generative systems.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
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You will be responsible for leading projects from conception to completion, collaborating with cross-functional teams to develop innovative solutions that leverage advanced technologies such as smart material handling, robotics, AGV, ASRS, vision systems, machine learning and artificial intelligence.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Familiarity with concepts of Analytics, Machine Learning, Internet of Things, Business Intelligence, Databases, Data Lakes, Robotic Process Automation, Data security/governance/compliance, Data Modeling, Building a Data Strategy, Data Visualization.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Data management, and implementation of machine learning techniques. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companiesAtlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
$173,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with digital signal processing, probability theory, stochastic signal processing, design of digital filters, statistical/analytical signal processing, feature extraction, and machine learning techniques.
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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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